Literature DB >> 32769758

Reproductive risk factors for angiographic obstructive coronary artery disease among postmenopausal women.

Jingyi Wen1, Wei Shuai2, Ting Ding1, Yanzhi Feng1, Jinjin Zhang1, Shixuan Wang1.   

Abstract

OBJECTIVE: Reproductive factors are female-specific coronary artery disease (CAD) risk factors. However, the importance of reproductive factors in angiographic obstructive CAD in postmenopausal women remains uncertain. This study aimed to compare reproductive factors between postmenopausal women with no apparent CAD, nonobstructive CAD, and obstructive CAD and identify reproductive risk factors for obstructive CAD.
METHODS: In this hospital-based cross-sectional study, 1,474 postmenopausal women, admitted with chest pain and referred for invasive coronary angiography were enrolled between April 2013 and October 2018.
RESULTS: Adjusted odds ratio (95% CI) for obstructive CAD were 1.81 (1.03-3.17) for multigravidity (three or more pregnancies), 1.77 (1.14-2.76) for early menopause (≤40 y old), and 1.72 (1.26-2.35) for short reproductive life span (≤30 y). Each additional year in age at menopause or reproductive life span was associated with a 4% reduction in obstructive CAD risk in postmenopausal women (odds ratio, 0.96; 95% CI, 0.94-0.99; P = 0.011). The other reproductive factors, including parity, age at first birth, spontaneous abortion, induced abortion, stillbirth, hypertensive disorders of pregnancy, gestational diabetes mellitus, and age at menarche, were not correlated with obstructive CAD risk in postmenopausal women.
CONCLUSIONS: Multigravidity (three or more pregnancies), early menopause, and a shorter reproductive life span were independent risk factors of angiographic obstructive CAD among postmenopausal women, which suggested that pregnancy and ovarian function may be important for the early identification and prevention of increased risk of female angiographic obstructive CAD.

Entities:  

Mesh:

Year:  2020        PMID: 32769758     DOI: 10.1097/GME.0000000000001616

Source DB:  PubMed          Journal:  Menopause        ISSN: 1072-3714            Impact factor:   2.953


  2 in total

1.  Segmentation and Classification of Heart Angiographic Images Using Machine Learning Techniques.

Authors:  Muhammad Hameed Siddiqi; Yousef Salamah Alhwaiti; Ibrahim Alrashdi; Amjad Ali; Mohammad Faisal
Journal:  J Healthc Eng       Date:  2021-01-28       Impact factor: 2.682

Review 2.  Use of Race, Ethnicity, and National Origin in Studies Assessing Cardiovascular Risk in Women With a History of Hypertensive Disorders of Pregnancy.

Authors:  Amy Johnston; Victrine Tseung; Sonia R Dancey; Sarah M Visintini; Thais Coutinho; Jodi D Edwards
Journal:  CJC Open       Date:  2021-08-20
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.